Literatura académica sobre el tema "MULTIWAVELET"
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Artículos de revistas sobre el tema "MULTIWAVELET"
Shouzhi, Yang. "Biorthogonal interpolatory multiscaling functions and corresponding multiwavelets". ANZIAM Journal 49, n.º 1 (julio de 2007): 85–97. http://dx.doi.org/10.1017/s1446181100012694.
Texto completoHuang, Yongdong, Qiufu Li y Ming Li. "Minimum-Energy Multiwavelet Frames with Arbitrary Integer Dilation Factor". Mathematical Problems in Engineering 2012 (2012): 1–37. http://dx.doi.org/10.1155/2012/640789.
Texto completoTaha, Saleem y Walid Mahmood. "New techniques for Daubechies wavelets and multiwavelets implementation using quantum computing". Facta universitatis - series: Electronics and Energetics 26, n.º 2 (2013): 145–56. http://dx.doi.org/10.2298/fuee1302145t.
Texto completoNGUYEN, PHAN. "BIORTHOGONAL MULTIWAVELETS RELATED BY DIFFERENTIATION". International Journal of Wavelets, Multiresolution and Information Processing 12, n.º 02 (marzo de 2014): 1450021. http://dx.doi.org/10.1142/s0219691314500210.
Texto completoMahmoud, Waleed Ameen, Ali Ibrahim Abbas y Nuha Abdul Sahib Alwan. "FACE IDENTIFICATION USING BACK-PROPAGATION ADAPTIVE MULTIWAVENET". Journal of Engineering 18, n.º 03 (21 de julio de 2023): 392–402. http://dx.doi.org/10.31026/j.eng.2012.03.12.
Texto completoSaini, Manish Kumar y Rajiv Kapoor. "Power Quality Events Classification Using MWT and MLP". Advanced Materials Research 403-408 (noviembre de 2011): 4266–71. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.4266.
Texto completoBACCHELLI, SILVIA y SERENA PAPI. "A NOTE ON A MATRIX APPROACH TO MULTIWAVELET APPLICATIONS". International Journal of Wavelets, Multiresolution and Information Processing 04, n.º 03 (septiembre de 2006): 509–22. http://dx.doi.org/10.1142/s0219691306001415.
Texto completoLang, W. Christopher. "Fractal multiwavelets related to the cantor dyadic group". International Journal of Mathematics and Mathematical Sciences 21, n.º 2 (1998): 307–14. http://dx.doi.org/10.1155/s0161171298000428.
Texto completoHnativ, Lev. "Orthonormalized basic of fractal stepped multiwavelets – a new multiwavelet technology for signal and image processing". Physico-mathematical modelling and informational technologies, n.º 32 (7 de julio de 2021): 91–95. http://dx.doi.org/10.15407/fmmit2021.32.091.
Texto completoSaini, Manish Kumar, Rajiv Kapoor y Bharat Bhushan Sharma. "PQ Event Classification Using Fuzzy Classifier". Advanced Materials Research 403-408 (noviembre de 2011): 3854–58. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.3854.
Texto completoTesis sobre el tema "MULTIWAVELET"
Koch, Karsten. "Interpolating scaling vectors and multiwavelets in Rd : a multiwavelet cookery book /". Berlin : Logos-Verl, 2007. http://deposit.d-nb.de/cgi-bin/dokserv?id=2917176&prov=M&dok_var=1&dok_ext=htm.
Texto completoKoch, Karsten. "Interpolating scaling vectors and multiwavelets in Rd a multiwavelet cookery book". Berlin Logos-Verl, 2006. http://deposit.d-nb.de/cgi-bin/dokserv?id=2917176&prov=M&dok_var=1&dok_ext=htm.
Texto completoBrodin, Andreas. "Multiwavelet analysis on fractals". Doctoral thesis, Umeå : Dept. of Mathematics and Mathematical Statistics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1131.
Texto completoMartin, Michael B. "Applications of Multiwavelets to Image Compression". Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/33601.
Texto completoMaster of Science
Garcia, Bautista Javier. "Multiwavelet-based hp-adaptation for discontinuous Galerkin methods". Thesis, Ecole centrale de Nantes, 2022. http://www.theses.fr/2022ECDN0046.
Texto completoThe main objective of the present thesis is to devise, construct and validate computationally efficient hp-adaptive discontinuous Galerkin schemes of the Navier-Stokes equations by bringing together the flexibility of a posteriori error driven adaptation and the accuracy of multiresolution-based adaptation. The performance of the hp-algorithm is illustrated by several steady flows in one and two dimensions.The first research direction employs a new multiwavelet-based methodology to estimate the discretization error of the numerical solution in the context of h-adaptive simulations. The results certainly demonstrate the viability of h-refinement to reach a significant computational gain with respect to uniformly refined grids. The second line of investigation addresses the analysis and development of a new hp-adaptive strategy based on the decay of the multiwavelet spectrum to drive hp-adaptive simulations. The strategy successfully discriminates between regions characterized by high regularity and discontinuous phenomena and their vicinity. Remarkably, the developed hp-adaptation algorithm is able to achieve the high accuracy characteristic of high-order numerical solutions while avoiding unwanted oscillations by adopting low-order approximations in the proximity of singularities
Fann, George I.-Pan. "Efficient multiwavelet representation of the projector on divergence-free functions". Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/9176.
Texto completoCastrillón, Candás Julio E. (Julio Enrique). "Spatially adaptive multiwavelet representations on unstructured grids with applications to multidimensional computational modeling". Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/8923.
Texto completoIncludes bibliographical references (p. 130-134).
In this thesis, we develop wavelet surface wavelet representations for complex surfaces, with the goal of demonstrating their potential for 3D scientific and engineering computing applications. Surface wavelets were originally developed for representing geometric objects in a multiresolution format in computer graphics. However, we further extend the construction of surface wavelets and prove the existence of a large class of multiwavelets in Rn with vanishing moments around corners that are well suited for complex geometries. These wavelets share all of the major advantages of conventional wavelets, in that they provide an analysis tool for studying data, functions and operators at different scales. However, unlike conventional wavelets, which are restricted to uniform grids, surface wavelets have the power to perform signal processing operations on complex meshes, such as those encountered in finite element modeling. This motivates the study of surface wavelets as an efficient representation for the modeling and simulation of physical processes. We show how surface wavelets can be applied to partial differential equations, cast in the integral form. We analyze and implement the wavelet approach for a model 3D potential problem using a surface wavelet basis with linear interpolating properties.
(cont.) We show both theoretically and experimentally that an O(h2/n) convergence rate, hn being the mesh size, can be obtained by retaining only O((logN)7/2 N) entries in the discrete operator matrix, where N is the number of unknowns. Moreover our theoretical proof of accuracy vs compression is applicable to a large class of Calderón-Zygmund integral operators. In principle, this convergence analysis may be extended to higher order wavelets with greater vanishing moment. This results in higher convergence and greater compression.
by Julio E. Castrillón Candás.
Ph.D.
Jacobs, Denise Anne. "Multiwavelets in higher dimensions". Diss., Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/28780.
Texto completoStrela, Vasily. "Multiwavelets--theory and applications". Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/10631.
Texto completoIyer, Lakshmi Ramachandran. "Image Compression Using Balanced Multiwavelets". Thesis, Virginia Tech, 2001. http://hdl.handle.net/10919/33748.
Texto completoMaster of Science
Libros sobre el tema "MULTIWAVELET"
Wavelets and multiwavelets. Boca Raton, FL: Chapman & Hall/CRC Press, 2004.
Buscar texto completoAldroubi, Akram y EnBing Lin, eds. Wavelets, Multiwavelets, and Their Applications. Providence, Rhode Island: American Mathematical Society, 1998. http://dx.doi.org/10.1090/conm/216.
Texto completoAkram, Aldroubi y Lin EnBing 1953-, eds. Wavelets, multiwavelets, and their applications: AMS Special Session on Wavelets, Multiwavelets, and Their Applications, January, 1997, San Diego, California. Providence, R.I: American Mathematical Society, 1998.
Buscar texto completoKeinert, Fritz. Wavelets and Multiwavelets. Taylor & Francis Group, 2003.
Buscar texto completoKeinert, Fritz. Wavelets and Multiwavelets. Taylor & Francis Group, 2003.
Buscar texto completoKeinert, Fritz. Wavelets and Multiwavelets. Taylor & Francis Group, 2003.
Buscar texto completoKeinert, Fritz. Wavelets and Multiwavelets. Taylor & Francis Group, 2003.
Buscar texto completoKeinert, Fritz. Wavelets and Multiwavelets. Taylor & Francis Group, 2003.
Buscar texto completoKeinert, Fritz. Wavelets and Multiwavelets. Taylor & Francis Group, 2003.
Buscar texto completoKeinert, Fritz. Wavelets and Multiwavelets (Studies in Advanced Mathematics). Chapman & Hall/CRC, 2003.
Buscar texto completoCapítulos de libros sobre el tema "MULTIWAVELET"
Aldroubi, Akram. "Oblique Multiwavelet Bases". En Wavelet Theory and Harmonic Analysis in Applied Sciences, 73–91. Boston, MA: Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-2010-7_4.
Texto completoAverbuch, Amir Z., Pekka Neittaanmäki y Valery A. Zheludev. "Multiwavelet Frames Originated From Hermite Splines". En Spline and Spline Wavelet Methods with Applications to Signal and Image Processing, 393–407. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22303-2_16.
Texto completoHarrison, Robert J., George I. Fann, Takeshi Yanai y Gregory Beylkin. "Multiresolution Quantum Chemistry in Multiwavelet Bases". En Lecture Notes in Computer Science, 103–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44864-0_11.
Texto completoAshino, Ryuichi, Takeshi Mandai y Akira Morimoto. "Continuous Multiwavelet Transform for Blind Signal Separation". En Trends in Mathematics, 219–39. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47512-7_12.
Texto completoKestler, S. "A Special Multiwavelet Basis for Unbounded Product Domains". En Numerical Mathematics and Advanced Applications 2011, 183–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33134-3_20.
Texto completoSumesh, Eratt P. y Elizabeth Elias. "Optimization of Finite Difference Method with Multiwavelet Bases". En Communications in Computer and Information Science, 37–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03547-0_5.
Texto completoFang, Zhijun, Guihua Luo, Jucheng Yang y Shouyuan Yang. "Multiwavelet Video Coding Based on DCT Time Domain Filtering". En Transactions on Edutainment VII, 222–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29050-3_21.
Texto completoKim, Wonkoo y Ching-Chung Li. "A Study on Preconditioning Multiwavelet Systems for Image Compression". En Wavelet Analysis and Its Applications, 22–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45333-4_6.
Texto completoJallouli, Malika, Wafa Belhadj Khalifa, Anouar Ben Mabrouk y Mohamed Ali Mahjoub. "Toward Multiwavelet Haar-Schauder Entropy for Biomedical Signal Reconstruction". En Computer Analysis of Images and Patterns, 298–307. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89128-2_29.
Texto completoSankar, M. Ravi, P. Srinivas, V. Praveena, D. Bhavani, M. Sri Uma Suseela, Y. Srinivas y Ch Venkateswara Rao. "Performance Evaluation of Multiwavelet Transform for Single Image Dehazing". En Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 125–33. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-28975-0_10.
Texto completoActas de conferencias sobre el tema "MULTIWAVELET"
Xia, Xiang-Gen, Jeffrey S. Geronimo, Douglas P. Hardin y Bruce W. Suter. "Computations of multiwavelet transforms". En SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, editado por Andrew F. Laine y Michael A. Unser. SPIE, 1995. http://dx.doi.org/10.1117/12.217578.
Texto completoAldroubi, Akram. "Oblique multiwavelet bases: examples". En SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, editado por Michael A. Unser, Akram Aldroubi y Andrew F. Laine. SPIE, 1996. http://dx.doi.org/10.1117/12.255271.
Texto completoKromka, Jozef, Ondrej Kovac y Jan Saliga. "Multiwavelet toolbox for MATLAB". En 2022 32nd International Conference Radioelektronika (RADIOELEKTRONIKA). IEEE, 2022. http://dx.doi.org/10.1109/radioelektronika54537.2022.9764952.
Texto completoHo, C. Y. F., B. W. K. Ling y P. K. S. Tam. "Denoising by multiwavelet singularity detection". En Proceedings of 2003 International Conference on Neural Networks and Signal Processing. IEEE, 2003. http://dx.doi.org/10.1109/icnnsp.2003.1279349.
Texto completoWang, Ling y Xiang Feng. "Prefiltering of Multiwavelet with Banlancing". En 2006 International Conference on Machine Learning and Cybernetics. IEEE, 2006. http://dx.doi.org/10.1109/icmlc.2006.258874.
Texto completoXIA, MING-GE, YOU HE, FENG SU y WEN OUYANG. "IMAGE FUSION USING MULTIWAVELET TRANSFORMS". En Proceedings of the International Computer Congress 2004. World Scientific Publishing Company, 2004. http://dx.doi.org/10.1142/9789812702654_0052.
Texto completoWang, Ning, Baobin Li y Lizhong Peng. "Multiple Description Multiwavelet Based Image Coding". En 2010 Seventh International Conference on Information Technology: New Generations. IEEE, 2010. http://dx.doi.org/10.1109/itng.2010.133.
Texto completoPeeters, R. L. M., J. M. H. Karel, R. L. Westra, S. A. P. Haddad y W. A. Serdijn. "Multiwavelet Design for Cardiac Signal Processing". En Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.259733.
Texto completoPeeters, R. L. M., J. M. H. Karel, R. L. Westra, S. A. P. Haddad y W. A. Serdijn. "Multiwavelet Design for Cardiac Signal Processing". En Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.4397744.
Texto completoRuedin, Ana M. C. "A nonseparable multiwavelet for edge detection". En Optical Science and Technology, SPIE's 48th Annual Meeting, editado por Michael A. Unser, Akram Aldroubi y Andrew F. Laine. SPIE, 2003. http://dx.doi.org/10.1117/12.506548.
Texto completoInformes sobre el tema "MULTIWAVELET"
Poppeliers, Christian. The use of multiwavelets for uncertainty estimation in seismic surface wave dispersion. Office of Scientific and Technical Information (OSTI), diciembre de 2017. http://dx.doi.org/10.2172/1413439.
Texto completo